Advanced High-grade Serous Ovarian Carcinoma Research Articles

Predictive impact of clinical factors on chemosensitivity in advanced high-grade serous ovarian carcinoma according to chemotherapy response score

The use of neoadjuvant chemotherapy (NAC) as a first-line therapy for advanced high-grade serous ovarian carcinoma (HGSOC) has increased. However, several studies have reported NAC-induced platinum resistance. This study aimed to evaluate the predictive impact of clinical factors on chemotherapy response score (CRS) and to select patients who would respond well to NAC. This multicenter retrospective (study included patients treated between January 2016 and December 2021). International Federation of Gynecology and Obstetrics stage IIIC and IV HGSOC patients were eligible. Institutionally strict complete resectability criteria were used in the present study. Pathological slides were scored according to the CRS criteria. Among 172 patients with HGSOC, 87 (50.6%) had stage IIIC disease and 85 (49.4%) had stage IV disease. And 35 (20.4%) had CRS1, 103 patients were CRS2 (59.9%), and 34 patients were CRS3 (19.7%). Compared with CRS1, simultaneous metastases to distant lymph nodes and solid organs confirmed by imaging were associated with a 75% reduction in CRS2 (odds ratio = 0.25; 95% confidence interval: 0.09–0.70; P = .008). And breast cancer susceptibility gene 1/2 mutation was positively (odds ratio = 8.41; 95% confidence interval: 2.25–31.52; P = .002) associated with CRS3 compared to CRS1. Patients with CRS3 had significantly longer progression-free survival (PFS), with median PFS of 9.8, 14.8, and 27.0 months for CRS of 1, 2, and 3, respectively (P < .001). Overall survival was also prolonged in patients with CRS3 (P < .001). Germline breast cancer susceptibility gene 1/2 mutation was a predictor of CRS3 and a good prognostic factor for the survival rate. Simultaneous metastasis to distant lymph nodes and solid organs is a predictor of CRS1. CRS inversely correlated with PFS and overall survival.

Analysis of ATP7A Expression and Ceruloplasmin Levels as Biomarkers in Patients Undergoing Neoadjuvant Chemotherapy for Advanced High-Grade Serous Ovarian Carcinoma.

Ovarian cancer (OC), particularly high-grade serous carcinoma (HGSC), is a leading cause of gynecological cancer mortality due to late diagnosis and chemoresistance. While studies on OC cell lines have shown that overexpression of the ATP7A membrane transporter correlates with resistance to platinum-based drugs (PtBMs) and cross-resistance to copper (Cu), clinical evidence is lacking. The functionality of ceruloplasmin (CP), the main Cu-transporting protein in the blood, is dependent on, among other things, ATP7A activity. This study investigated ATP7A expression and CP levels as potential biomarkers for predicting responses to PtBMs. We included 28 HGSC patients who underwent neoadjuvant chemotherapy (NACT). ATP7A expression in ovarian and peritoneal tissues before NACT and in peritoneal and omental tissues after NACT was analyzed via qPCR, and CP levels in ascites and plasma were measured via ELISA before and after NACT. In total, 54% of patients exhibited ATP7A expression in pretreatment tissue (ovary and/or peritoneum), while 43% of patients exhibited ATP7A expression in tissue after treatment (peritoneum and/or omentum). A significant association was found between higher ATP7A expression in the peritoneum before NACT and an unfavorable CA-125 elimination rate constant k (KELIM) score. Patients with omental ATP7A expression had significantly higher plasma mean CP levels before NACT. Plasma CP levels decreased significantly after NACT, and higher CP levels after NACT were associated with a shorter platinum-free interval (PFI). These findings suggest that the ATP7A transporter and CP have the potential to serve as predictive markers of chemoresistance, but further research is needed to validate their clinical utility.

Efficacy of PARP inhibitors in advanced high-grade serous ovarian cancer according to BRCA domain mutations and mutation type.

Preclinical studies have emphasized the potential connection between BRCA specific domains defects and the activity of Poly ADP-ribose polymerase inhibitors (PARPi). Nevertheless, real-world evidence regarding the impact of BRCA domain defects and mutations on PARPi efficacy are limited. The aim of his study was to evaluate the efficacy of PARPi in terms of progression free survival (PFS) according to BRCA domains defects and mutation types. A retrospective analysis was performed among 79 BRCA mutated patients, diagnosed with advanced High-grade serous ovarian carcinoma (HGSOC) who received first- and second-line platinum- based chemotherapy followed by PARPi maintenance treatment. PFS was evaluated according to BRCA1 [Really Interesting Gene (RING), DNA Binding (DBD), Serine Cluster (SCD), BRCA1 C-terminal (BRCT)] and BRCA2 [RAD-51 Domain (RAD-51 BD), DBD] specific domain defects and mutation types [missense (MS), nonsense (NS), frameshift (FS), splicing (S), or large rearrangements (LR)]. After a median follow-up of 51 months, no significant difference in PFS was observed between the BRCA functional domains or mutation types in the BRCA1 and BRCA2 subgroups. Patients with BRCA2 DBD and RAD51-BD defects had the longest (39.8 months) and shortest (24.1 months) median PFS, respectively (p = 0.11). Additionally, patients with BRCA1 DBD defects had the greatest benefit (median PFS = 33.8 months) while those with BRCA1 RING domain mutations experienced the worst outcome (median PFS = 30.9 months (p = 0.43). The efficacy of maintenance treatment with PARPi is independent by BRCA domain defects or mutation types. Patients DBD domain defects experienced numerically longer median PFS compared to those with other BRCA1/2 alterations.

AKTing on R Loops Makes for an ATRactive Target in Ovarian Cancer Therapy.

High-grade serous ovarian carcinoma (HGSOC) is the deadliest subtype of ovarian cancer. While PARP inhibitors (PARPi) have transformed the care of advanced HGSOC, PARPi resistance poses a major limitation to their clinical utility. DNA damage checkpoint signaling via ATR kinase can counteract PARPi-induced replication stress, making ATR an attractive therapeutic target in PARPi-resistant tumors. However, ATR inhibitor (ATRi) efficacy in the clinic is low, emphasizing the need for suitable combination treatments. In this issue of Cancer Research, Huang and colleagues uncovered cytotoxic synergism between inhibition of the PI3K/AKT pathway and ATR based on high-throughput screening for ATRi drug combinations in PARPi-resistant HGSOC cells. Dual inhibition of ATR and AKT resulted in aberrant replication stress and cell death, which was attributed in part to impaired resolution of replication-stalling RNA:DNA hybrids (R loops). The authors identified the DNA/RNA helicase DHX9 as a clinically relevant candidate effector of R loop resolution in HGSOC. AKT interacted with and recruited DHX9 to R loops, where it complemented ATR in facilitating their removal. Underlining the therapeutic potential relevance of these findings, combined inhibition of ATR and AKT caused near complete tumor regression in HGSOC xenograft models, and elevated AKT/DHX9 levels correlated with poor survival in patients with HGSOC. Of note, the genotoxic consequences of dual ATRi/AKTi treatment extended beyond PARPi-resistant tumors and are likely to affect genome integrity beyond R loops. The work by Huang and colleagues thus provides compelling rationale for the exploration of combined targeting of the AKT and ATR pathways as a potentially broadly applicable treatment of advanced HGSOC. See related article by Huang et al., p. 887.

Combined radiomics-clinical model to predict platinum-sensitivity in advanced high-grade serous ovarian carcinoma using multimodal MRI.

We aimed to predict platinum sensitivity using routine baseline multimodal magnetic resonance imaging (MRI) and established clinical data in a radiomics framework. We evaluated 96 patients with ovarian cancer who underwent multimodal MRI and routine laboratory tests between January 2016 and December 2020. The patients underwent diffusion-weighted, contrast-enhanced T1-weighted, and T2-weighted MRI. Subsequently, 293 radiomic features were extracted by manually identifying tumor regions of interest. The features were subjected to the least absolute shrinkage and selection operators, leaving only a few selected features. We built the first prediction model with a tree-based classifier using selected radiomics features. A second prediction model was built by combining the selected radiomic features with four established clinical factors: age, disease stage, initial tumor marker level, and treatment course. Both models were built and tested using a five-fold cross-validation. Our radiomics model predicted platinum sensitivity with an AUC of 0.65 using a few radiomics features related to heterogeneity. The second combined model had an AUC of 0.77, confirming the incremental benefits of the radiomics model in addition to models using established clinical factors. Our combined radiomics-clinical data model was effective in predicting platinum sensitivity in patients with advanced ovarian cancer.

Case report: diagnosis and treatment of advanced high-grade serous ovarian carcinoma aided by 68Ga-FAPI PET/MR scan

Case report: diagnosis and treatment of advanced high-grade serous ovarian carcinoma aided by 68Ga-FAPI PET/MR scan

Machine Learning Quantification of Intraepithelial Tumor-Infiltrating Lymphocytes as a Significant Prognostic Factor in High-Grade Serous Ovarian Carcinomas.

The prognostic and predictive role of tumor-infiltrating lymphocytes (TILs) has been demonstrated in various neoplasms. The few publications that have addressed this topic in high-grade serous ovarian carcinoma (HGSOC) have approached TIL quantification from a semiquantitative standpoint. Clinical correlation studies, therefore, need to be conducted based on more accurate TIL quantification. We created a machine learning system based on H&E-stained sections using 76 molecularly and clinically well-characterized advanced HGSOC. This system enabled immune cell classification. These immune parameters were subsequently correlated with overall survival (OS) and progression-free survival (PFI). An intense colonization of the tumor cords by TILs was associated with a better prognosis. Moreover, the multivariate analysis showed that the intraephitelial (ie) TILs concentration was an independent and favorable prognostic factor both for OS (p = 0.02) and PFI (p = 0.001). A synergistic effect between complete surgical cytoreduction and high levels of ieTILs was evidenced, both in terms of OS (p = 0.0005) and PFI (p = 0.0008). We consider that digital analysis with machine learning provided a more accurate TIL quantification in HGSOC. It has been demonstrated that ieTILs quantification in H&E-stained slides is an independent prognostic parameter. It is possible that intraepithelial TIL quantification could help identify candidate patients for immunotherapy.

Immunohistochemical Profiling of PD-1, PD-L1, CD8, MSI, and p53 and Prognostic Implications in Advanced Serous Ovarian Carcinoma: A Retrospective Study.

Advanced high-grade serous ovarian carcinoma is a serious malignant neoplasm with a late diagnosis and high mortality rate. Even when treated with standard therapy, such as surgery followed by carboplatin and paclitaxel chemotherapy, the prognosis remains unfavorable. Immunotherapy is a treatment alternative that requires further study. Therefore, we aimed to evaluate the expression of PD-1, PD-L1, CD8, MSI (MLH1, MSH2, MSH6, and PMS2), and p53 in the paraffin samples of high-grade serous ovarian carcinoma. A retrospective study of 28 southern Brazilian patients with advanced serous ovarian carcinoma (EC III or IV) was conducted between 2009 and 2020. The expression of these proteins was evaluated using immunohistochemistry, and the results were correlated with the patients' clinicopathological data. At diagnosis, the mean age was 61 years, and the most common clinical stage (60%) was EC III. Among the cases, 84.6% exhibited p53 overexpression, 14.8% had MSI, 92.0% were sensitive to platinum, and more than 50.0% relapsed after treatment. Patients with MSI had a lower CD8/PD-1 ratio and more relapses (p = 0.03). In conclusion, analysis of immunotherapeutic markers in paraffin-embedded advanced serous ovarian carcinoma samples is feasible and may assist in prognosis.

Primary Treatment Effects for High-Grade Serous Ovarian Carcinoma Evaluated by Changes in Serum Metabolites and Lipoproteins

High-grade serous ovarian carcinoma (HGSOC) is the most common and deadliest ovarian cancer subtype. Despite advances in treatment, the overall prognosis remains poor. Regardless of efforts to develop biomarkers to predict surgical outcome and recurrence risk and resistance, reproducible indicators are scarce. Exploring the complex tumor heterogeneity, serum profiling of metabolites and lipoprotein subfractions that reflect both systemic and local biological processes were utilized. Furthermore, the overall impact on the patient from the tumor and the treatment was investigated. The aim was to characterize the systemic metabolic effects of primary treatment in patients with advanced HGSOC. In total 28 metabolites and 112 lipoproteins were analyzed by nuclear magnetic resonance (NMR) spectroscopy in longitudinal serum samples (n = 112) from patients with advanced HGSOC (n = 24) from the IMPACT trial with linear mixed effect models and repeated measures ANOVA simultaneous component analysis. The serum profiling revealed treatment-induced changes in both lipoprotein subfractions and circulating metabolites. The development of a more atherogenic lipid profile throughout the treatment, which was more evident in patients with short time to recurrence, indicates an enhanced systemic inflammation and increased risk of cardiovascular disease after treatment. The findings suggest that treatment-induced changes in the metabolome reflect mechanisms behind the diversity in disease-related outcomes.

66P PD-L1 expression following neoadjuvant chemotherapy is upregulated and serves as a prognostic factor in patients with advanced high-grade serous ovarian carcinoma

Patients with high-grade serous ovarian carcinoma (HGSOC) gradually acquire resistance to standard chemotherapy after recurrence. In our previous study of HGSOC, histone deacetylase (HDAC)6 upregulation led to poor prognosis, and programmed cell death ligand-1(PD-L1) expressions positively correlated with HDAC6 expression. We analyzed the expression of HDAC6 and PD-L1 pre- and post-chemotherapy to investigate their association with chemotherapy resistance. PD-L1 and HDAC6 expressions were immunohistochemically analyzed using clinical samples obtained before and after standard chemotherapy (combination of platinum and taxane agents) from 54 patients with HGSOC. The clinicopathological characteristics, including surgical status, RECIST status, and chemotherapy response score, were reviewed. High expression (≥ 5%) of PD-L1 was detected in 5 and 8 cases pre- and post-chemotherapy, respectively. The mean PD-L1 positive rate post-chemotherapy was 3.88%, which was significantly higher than 0.68% pre- chemotherapy (p=0.045). The high expression frequency of HDAC6 significantly increased from 4 patients pre-chemotherapy to 13 patients post-chemotherapy (p=0.019). High PD-L1 expression post-chemotherapy was significantly correlated with chemotherapy response score 3, signifying chemosensitivity. High post-chemotherapy PD-L1 expression led to poor progression-free (p=0.037) and overall survival (p=0.049), in the group with complete surgical resection. In HGSOC, residual tumors post-chemotherapy had enhanced expression of HDAC6 and PD-L1, which are associated with tumor immunity, cell proliferation, and hypoxic responses. PD-L1 was also correlated with patient prognosis. These results suggest that HDAC6 and PD-L1 may serve as therapeutic targets and prognostic factors for residual tumors after standard chemotherapy in HGSOC.

Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI

To preoperatively predict residual tumor (RT) in patients with high-grade serous ovarian carcinoma (HGSOC) via a radiomic-clinical nomogram. A total of 128 patients with advanced HGSOC were enrolled (training cohort: n=106; validation cohort: n=22). Serum cancer antigen-125 (CA125), serum human epididymis protein 4 (HE-4) level, and neutrophil-to-lymphocyte ratio (NLR) were obtained from the medical records. Metastases in abdomen and pelvis (MAP) of HGSOC patients was evaluated and scored based on preoperative abdominal and pelvic enhanced CT, MRI and/or PET-CT. A volume of interest (VOI) of each tumor was manually contoured along the boundary slice-by-slice. Radiomic features were extracted from the T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) images. Univariate and multivariate analyses were used to determine the independent predictors of RT status. Least absolute shrinkage and selection operator (LASSO) logistic regression was performed to select optimal features and construct radiomic models. A radiomic-clinical nomogram incorporating radiomic signature and clinical parameters was developed and evaluated in training and validation cohorts. MAP score (p=0.002), HE-4 level (p=0.001) and NLR (p=0.008) were independent predictors of RT status. The final radiomic-clinical nomogram showed satisfactory prediction performance in training (AUC=0.936), cross validation (AUC=0.906) and separate validation cohorts (AUC=0.900), and fitted well in calibration curves (p > 0.05). Decision curve further confirmed the clinical application value of the nomogram. The proposed MRI-based radiomic-clinical nomogram achieved excellent preoperative prediction of the RT status in HGSOC.

Expression of DNA Methyltransferase 3B Isoforms Is Associated with DNA Satellite 2 Hypomethylation and Clinical Prognosis in Advanced High-Grade Serous Ovarian Carcinoma.

Alterations in DNA methylation are critical for the carcinogenesis of ovarian tumors, especially ovarian carcinoma (OC). DNMT3B, a de novo DNA methyltransferase (DNMT), encodes for fifteen spliced protein products or isoforms. DNMT3B isoforms lack exons for the catalytic domain, with functional consequences on catalytic activity. Abnormal expression of DNMT3B isoforms is frequently observed in several types of cancer, such as breast, lung, kidney, gastric, liver, skin, leukemia, and sarcoma. However, the expression patterns and consequences of DNMT3B isoforms in OC are unknown. In this study, we analyzed each DNMT and DNMT3B isoforms expression by qPCR in 63 OC samples and their association with disease-free survival (DFS), overall survival (OS), and tumor progression. We included OC patients with the main histological subtypes of EOC and patients in all the disease stages and found that DNMTs were overexpressed in advanced stages (p-value < 0.05) and high-grade OC (p-value < 0.05). Remarkably, we found DNMT3B1 overexpression in advanced stages (p-value = 0.0251) and high-grade serous ovarian carcinoma (HGSOC) (p-value = 0.0313), and DNMT3B3 was overexpressed in advanced stages (p-value = 0.0098) and high-grade (p-value = 0.0004) serous ovarian carcinoma (SOC). Finally, we observed that overexpression of DNMT3B isoforms was associated with poor prognosis in OC and SOC. DNMT3B3 was also associated with FDS (p-value = 0.017) and OS (p-value = 0.038) in SOC patients. In addition, the ovarian carcinoma cell lines OVCAR3 and SKOV3 also overexpress DNMT3B3. Interestingly, exogenous overexpression of DNMT3B3 in OVCAR3 causes demethylation of satellite 2 sequences in the pericentromeric region. In summary, our results suggest that DNMT3B3 expression is altered in OC.

Can circulating PD-1, PD-L1, BTN3A1, pan-BTN3As, BTN2A1 and BTLA levels enhance prognostic power of CA125 in patients with advanced high-grade serous ovarian cancer?

The most common subtype of ovarian cancer (OC) is the high-grade serous ovarian carcinoma (HGSOC), accounting for 70%–80% of all OC deaths. Although HGSOC is a potentially immunogenic tumor, clinical studies assessing the effectiveness of inhibitors of programmed death protein and its ligand (PD-1/PD-L1) in OC patients so far showed only response rates <15%. However, recent studies revealed an interesting prognostic role of plasma PD-1/PD-L1 and other circulating immunoregulatory molecules, such as the B- and T-lymphocyte attenuator (BTLA), butyrophilin sub-family 3A/CD277 receptors (BTN3A), and butyrophilin sub-family 2 member A1 (BTN2A1), in several solid tumors. Since evidence showed the prognostic relevance of pretreatment serum CA125 levels in OC, the aim of our study was to investigate if soluble forms of inhibitory immune checkpoints can enhance prognostic power of CA125 in advanced HGSOC women. Using specific ELISA tests, we examined the circulating PD-1, PD-L1, pan-BTN3As, BTN3A1, BTN2A1, and BTLA levels in 100 advanced HGSOC patients before treatment, correlating them with baseline serum CA125, age at diagnosis, body mass index (BMI), and peritoneal carcinomatosis. A multivariate analysis revealed that plasma BTN3A1 ≤4.75 ng/ml (HR, 1.94; 95% CI, 1.23–3.07; p=0.004), age at diagnosis ≤60 years (HR, 1.65; 95% CI, 1.05–2.59; p=0.03) and absence of peritoneal carcinomatosis (HR, 2.65; 95% CI, 1.66–4.22; p<0.0001) were independent prognostic factors for a longer progression-free survival (PFS) (≥30 months) in advanced HGSOC women. However, further two-factor multivariate analyses highlighted that baseline serum CA125 levels >401 U/ml and each soluble protein above respective concentration cutoff were covariates associated with shorter PFS (<30 months) and unfavorable clinical outcome, suggesting that contemporary measurement of both biomarkers than CA125 only could strengthen prognostic power of serum CA125 in predicting PFS of advanced HGSOC women. Plasma PD-L1, PD-1, BTN3A1, pan-sBTN3As, BTN2A1, or BTLA levels could be helpful biomarkers to increase prognostic value of CA125.

Diffusion-Weighted Magnetic Resonance Imaging and Morphological Characteristics Evaluation for Outcome Prediction of Primary Debulking Surgery for Advanced High-Grade Serous Ovarian Carcinoma.

Preoperative assessment of whether a successful primary debulking surgery (PDS) can be performed in patients with advanced high-grade serous ovarian carcinoma (HGSOC) remains a challenge. A reliable model to precisely predict resectability is highly demanded. To investigate the value of diffusion-weighted MRI (DW-MRI) combined with morphological characteristics to predict the PDS outcome in advanced HGSOC patients. Prospective. A total of 95 consecutive patients with histopathologically confirmed advanced HGSOC (ranged from 39 to 77 years). A 3.0 T, readout-segmented echo-planar DWI. The MRI morphological characteristics of the primary ovarian tumor, a peritoneal carcinomatosis index (PCI) derived from DWI (DWI-PCI) and histogram analysis of the primary ovarian tumor and the largest peritoneal carcinomatosis were assessed by three radiologists. Three different models were developed to predict the resectability, including a clinicoradiologic model combing MRI morphological characteristic with ascites and CA125 level; DWI-PCI alone; and a fusion model combining the clinical-morphological information and DWI-PCI. Multivariate logistic regression analyses, receiver operating characteristic (ROC) curve, net reclassification index (NRI) and integrated discrimination improvement (IDI) were used. A P < 0.05 was considered to be statistically significant. Sixty-seven cases appeared as a definite mass, whereas 28 cases as an infiltrative mass. The morphological characteristics and DWI-PCI were independent factors for predicting the resectability, with an AUC of 0.724 and 0.824, respectively. The multivariable predictive model consisted of morphological characteristics, CA-125, and the amount of ascites, with an incremental AUC of 0.818. Combining the application of a clinicoradiologic model and DWI-PCI showed significantly higher AUC of 0.863 than the ones of each of them implemented alone, with a positive NRI and IDI. The combination of two clinical factors, MRI morphological characteristics and DWI-PCI provide a reliable and valuable paradigm for the noninvasive prediction of the outcome of PDS. 2 TECHNICAL EFFICACY: Stage 2.

Residual Microscopic Peritoneal Metastases after Macroscopic Complete Cytoreductive Surgery for Advanced High-Grade Serous Ovarian Carcinoma: A Target for Folate Receptor Targeted Photodynamic Therapy?

Despite conventional treatment combining complete macroscopic cytoreductive surgery (CRS) and systemic chemotherapy, residual microscopic peritoneal metastases (mPM) may persist as the cause of peritoneal recurrence in 60% of patients. Therefore, there is a real need to specifically target these mPM to definitively eradicate any traces of the disease and improve patient survival. Therapeutic targeting method, such as photodynamic therapy, would be a promising method for such a purpose. Folate receptor alpha (FRα), as it is specifically overexpressed by cancer cells from various origins, including ovarian cancer cells, is a good target to address photosensitizing molecules. The aim of this study was to determine FRα expression by residual mPM after complete macroscopic CRS in patients with advanced high-grade serous ovarian cancer (HGSOC). A prospective study conducted between 1 June 2018 and 10 July 2019 in a single referent center accredited by the European Society of Gynecological Oncology for advanced EOC surgical management. Consecutive patients presenting with advanced HGSOC and eligible for complete macroscopic CRS were included. Up to 13 peritoneal biopsies were taken from macroscopically healthy peritoneum at the end of CRS and examined for the presence of mPM. In case of detection of mPM, a systematic search for RFα expression by immunohistochemistry was performed. Twenty-six patients were included and 26.9% presented mPM. In the subgroup of patients with mPM, FRα expression was positive on diagnostic biopsy before neoadjuvant chemotherapy for 67% of patients, on macroscopic peritoneal metastases for 86% of patients, and on mPM for 75% of patients. In the subgroup of patients with no mPM, FRα expression was found on diagnostic biopsy before neoadjuvant chemotherapy in 29% of patients and on macroscopic peritoneal metastases in 78% of patients. FRα is well expressed by patients with or without mPM after complete macroscopic CRS in patients with advanced HGSOC. In addition to conventional cytoreductive surgery, the use of a therapeutic targeting method, such as photodynamic therapy, by addressing photosensitizing molecules that specifically target FRα may be studied.

Survival of patients with stage IV high-grade serous ovarian cancer treated with intraperitoneal versus intravenous platinumbased chemotherapy (501)

Survival of patients with stage IV high-grade serous ovarian cancer treated with intraperitoneal versus intravenous platinumbased chemotherapy (501)

Impact of neoadjuvant chemotherapy on somatic mutation status in high-grade serous ovarian carcinoma

BackgroundPatients treated with neoadjuvant chemotherapy (NACT) for advanced high-grade serous ovarian carcinoma (HGSC) have a higher rate and shorter time to platinum-resistant recurrence compared to patients treated with primary cytoreductive surgery (PCS) and adjuvant chemotherapy. The purpose of this study is to determine the impact of NACT on somatic mutation status in platinum-sensitive and resistant HGSC. Patients with advanced HGSC who had a documented response to platinum-based NACT, a banked blood sample, and a banked tumor sample before and after NACT were identified. Whole exome and/or targeted deep sequencing was performed in matched normal and pre/post-NACT tumor samples from 3 platinum-resistant and 2 platinum-sensitive patients to identify somatic non-synonymous mutations at each time point.ResultsWhen comparing exonic non-synonymous mutations in pre-NACT and post-NACT samples from the same patient, an average of 41% (1-68%) of genes were mutated at both time points. There were no trends detected in the mutational burden following exposure to NACT in platinum-resistant vs. platinum-sensitive cases. The majority of mutated genes were unique to each case. We identified several genes that were commonly mutated in pre-NACT samples specific to platinum-resistant (CSPG4, SLC35G5, TUBA3D) or sensitive (CYP2D6, NUTM1, DNAH5) cases. Four mutated genes emerged exclusively in the platinum-resistant cases (ADGRV1, MUC17, MUC20, PAK2) following NACT.ConclusionsPatients with advanced HGSC present with significant intra-tumor heterogeneity. NACT significantly impacts the somatic mutation status irrespective of the time to recurrence. The mutated genes detected in chemo-naive pre-NACT tumor samples from either resistant or sensitive cases could potentially have a role in the prediction of chemotherapy response in patients scheduled to receive NACT; larger studies are required to further validate these genes.

Olaparib as first line in BRCA-mutated advanced ovarian carcinoma: Is it cost-effective in Spain?

ObjectiveTo estimate the cost-effectiveness of olaparib after being funded by the Spanish National Health Service (SNHS) as first-line monotherapy maintenance treatment in patients with advanced high-grade serous ovarian carcinoma (HGSOC) and BRCA mutations in Spain. MethodsA semi-Markov model with one-month cycles was adapted to the Spanish healthcare setting, using the perspective of the SNHS, and a time horizon of 50 years. Two scenarios were compared: receiving olaparib vs. no maintenance treatment. The model comprised four health states and included the clinical results of the SOLO1 study, along with the direct healthcare costs associated with the use of first-line and subsequent treatment resources (2020 €). A discount rate of 3% was applied for future cost and quality-of-life outcomes. A probabilistic sensitivity analysis (PSA) was also carried out and a cost-effectiveness threshold of €25,000 per quality adjusted life year (QALY) was considered. ResultsThe introduction of olaparib as a first-line maintenance treatment for advanced HGSOC patients with BRCA mutations implied a cost of €131,614.98 compared to €102,369.54 without olaparib (difference: €29,245.44), with an improvement of 2.00 QALYs (5.56 and 3.57, respectively). Therefore, olaparib is cost-effective for advanced HGSOC patients with BRCA mutations, with an incremental cost-effectiveness ratio of €14,653.2/QALY. The results from the PSA showed that 92.1% of the simulations fell below the €25,000/QALY threshold. The model showed that olaparib could improve the overall survival by 2 years, vs. no maintenance treatment. ConclusionsOlaparib as first-line maintenance treatment is cost-effective in advanced HGSOC patients with BRCA mutations in Spain.

Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.

OBJECTIVE. The purpose of our study was to develop a radiomics model based on preoperative MRI and clinical information for predicting recurrence-free survival (RFS) in patients with advanced high-grade serous ovarian carcinoma (HGSOC). MATERIALS AND METHODS. This retrospective study enrolled 117 patients with HGSOC, including 90 patients with recurrence and 27 without recurrence; 1046 radiomics features were extracted from T2-weighted images and contrast-enhanced T1-weighted images using a manual segmentation method. L1 regularization-based least absolute shrinkage and selection operator (LASSO) regression was performed to select features, and the synthetic minority oversampling technique (SMOTE) was used to balance our dataset. A support vector machine (SVM) classifier was used to build the classification model. To validate the performance of the proposed models, we applied a leave-one-out cross-validation method to train and test the classifier. Cox proportional hazards regression, Harrell concordance index (C-index), and Kaplan-Meier plots analysis were used to evaluate the associations between radiomics signatures and RFS. RESULTS. The fusion radiomics-based model yielded a significantly higher AUC value of 0.85 in evaluating RFS than the model using contrast-enhanced T1-weighted imaging features alone or T2-weighted imaging features alone (AUC = 0.79 and 0.74 and p = .02 and .01, respectively). Kaplan-Meier survival curves showed significant differences between high and low recurrence risk in patients with HGSOC by different models. The fusion model combining radiomics features and clinical information showed higher performance than the clinical model (C-index = 0.62 and 0.60, respectively). CONCLUSION. The proposed MRI-based radiomics signatures may provide a potential way to develop a prediction model and can help identify patients with advanced HGSOC who have a high risk of recurrence.

Abstract 741: Characterization of high-grade serous ovarian carcinoma by measuring functional signal transduction pathway activity

Abstract Introduction: The majority of advanced stage high-grade serous ovarian carcinoma (HGSC), the most common subtype of ovarian cancer, recurs within the first 24 months despite complete remission after initial treatment. Yet there are remarkable differences in disease-free (DFS) and overall survival (OS). We hypothesize that differences in signal transduction pathway (STP) activity may relate to survival and may also improve targeted therapy selection. We investigate the STP activity in relation to survival in patients diagnosed with advanced stage HGSC, as well as identify STPs that may be targeted in alternative treatment strategies. Methods: We included 85 HGSC patients (DFS &amp;lt;12 months, n=52 and DFS &amp;gt;24 months, n=33) who achieved complete remission after treatment with debulking surgery and chemotherapy. Total mRNA was extracted, and RT-qPCR was performed to determine expression levels of pathway-specific target genes in primary HGSC samples taken prior to start of chemotherapy. OncoSignal pathway assays were used to quantitatively measure functional STP activity of the androgen and estrogen receptor (ER), PI3K, Hedgehog, TGF-β and Wnt pathways. Survival analysis in relation to STP activity was performed by means of Cox regression analysis and differences between groups were analyzed with Mann-Whitney U tests. Results: Differences in PI3K, Hedgehog and TGF-β pathway activity were observed across the HGSC cohort, suggesting unique tumor activation patterns. Median STP activity was not discernably different between the short and long DFS groups. Significantly higher ER pathway activity was found in premenopausal women (n=16) compared to postmenopausal women (n=67) (p=0.002). Cox regression analysis in postmenopausal women (n=67) showed that ER pathway activity was positively associated with DFS (HR=0.943, p=0.033) and OS (HR=0.930, p=0.041) in univariate analysis. None of the pathways were significantly related to DFS or OS in premenopausal women (n=16). Conclusion: We observed a positive association between ER pathway activity and survival in postmenopausal women but not in premenopausal women. Also, differences in activation levels of the other STPs were observed in individual patients. STP analysis may be used to aid targeted therapy selection, such as anti-hormonal therapy, in HGSC patients. Citation Format: Phyllis van der Ploeg, Laura van Lieshout, Yvonne Wesseling-Rozendaal, Anja van de Stolpe, Diederick Keizer, Steven Bosch, Marjolein Lentjes-Beer, Caroline Vos, Joanne de Hullu, Ruud Bekkers, Jurgen Piek. Characterization of high-grade serous ovarian carcinoma by measuring functional signal transduction pathway activity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 741.